Ground a Video

"Grounding a video" refers to connecting textual descriptions or queries with specific spatiotemporal segments within a video. Current research focuses on improving the accuracy and robustness of this connection, particularly in open-vocabulary settings and for complex multi-attribute edits, employing techniques like contrastive learning, attention mechanisms, and diffusion models. These advancements are crucial for enhancing video understanding, enabling applications such as efficient video search, automated video summarization, and sophisticated video editing tools. The development of large-scale datasets with detailed annotations, such as chaptered videos and localized narratives, is also driving progress in this field.